How to use the aicsimageio.exceptions function in aicsimageio

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github AllenCellModeling / aicsimageio / aicsimageio / readers / arraylike_reader.py View on Github external
def dims(self, dims: str):
        # Check amount of provided dims against data shape
        if len(dims) != len(self.dask_data.shape):
            raise exceptions.InvalidDimensionOrderingError(
                f"Provided too many dimensions for the associated file. "
                f"Received {len(dims)} dimensions [dims: {dims}] "
                f"for image with {len(self.data.shape)} dimensions "
                f"[shape: {self.data.shape}]."
            )

        # Set the dims
        self._dims = dims
github AllenCellModeling / aicsimageio / aicsimageio / readers / reader.py View on Github external
----------
        dims: str
            A string containing a list of dimensions being requested. The default is to
            return the six standard dims.

        Returns
        -------
        size: Tuple[int]
            A tuple with the requested dimensions filled in.
        """
        # Ensure dims is an uppercase string
        dims = dims.upper()

        # Check that the dims requested are in the image dims
        if not (all(d in self.dims for d in dims)):
            raise exceptions.InvalidDimensionOrderingError(
                f"Invalid dimensions requested: {dims}"
            )

        # Return the shape of the data for the dimensions requested
        return tuple([self.dask_data.shape[self.dims.index(dim)] for dim in dims])
github AllenCellModeling / aicsimageio / aicsimageio / readers / lif_reader.py View on Github external
# Due to the 12 bit values being stored in a uint16 the raw data is a little
        # fussy to get the contrast correct.
        p_types = {
            8: np.uint8,
            12: np.dtype("
github AllenCellModeling / aicsimageio / aicsimageio / readers / default_reader.py View on Github external
# Handle single image formats like png, jpeg, etc
                if image_length == 1:
                    return reader.get_data(0)

                # Handle many image formats like gif, mp4, etc
                elif image_length > 1:
                    frames = []
                    for frame in reader.iter_data():
                        frames.append(frame)

                    return np.stack(frames)

                # Catch all other image types as unsupported
                # https://imageio.readthedocs.io/en/stable/userapi.html#imageio.core.format.Reader.get_length
                else:
                    raise exceptions.UnsupportedFileFormatError(self._file)

        # Reraise unsupported file format
        except exceptions.UnsupportedFileFormatError:
            raise exceptions.UnsupportedFileFormatError(self._file)